Abhishek Pratap

3.9k total citations · 2 hit papers
40 papers, 1.9k citations indexed

About

Abhishek Pratap is a scholar working on Applied Psychology, Experimental and Cognitive Psychology and General Health Professions. According to data from OpenAlex, Abhishek Pratap has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Applied Psychology, 14 papers in Experimental and Cognitive Psychology and 10 papers in General Health Professions. Recurrent topics in Abhishek Pratap's work include Digital Mental Health Interventions (19 papers), Mental Health Research Topics (13 papers) and Mobile Health and mHealth Applications (8 papers). Abhishek Pratap is often cited by papers focused on Digital Mental Health Interventions (19 papers), Mental Health Research Topics (13 papers) and Mobile Health and mHealth Applications (8 papers). Abhishek Pratap collaborates with scholars based in United States, United Kingdom and Canada. Abhishek Pratap's co-authors include John Torous, Joseph Firth, Rebekah Carney, Jerome Sarris, Jennifer Nicholas, Simon Rosenbaum, Patricia A. Areán, Elias Chaibub Neto, J Christopher Bare and Brian M. Bot and has published in prestigious journals such as PLoS ONE, Biological Psychiatry and Sensors.

In The Last Decade

Abhishek Pratap

35 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials

2017 664 citations Joseph Firth, John Torous et al. World Psychiatry profile →
The mPower study, Parkinson disease mobile data collected using ResearchKit

2016 404 citations Brian M. Bot, Christine Suver et al. Scientific Data profile →

Peers

Countries citing papers authored by Abhishek Pratap

Since Specialization

Citations

This map shows the geographic impact of Abhishek Pratap's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Abhishek Pratap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Pratap more than expected).

Fields of papers citing papers by Abhishek Pratap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abhishek Pratap. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Abhishek Pratap. The network helps show where Abhishek Pratap may publish in the future.

Co-authorship network of co-authors of Abhishek Pratap

This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Pratap. A scholar is included among the top collaborators of Abhishek Pratap based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhishek Pratap. Abhishek Pratap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Feasibility of a digital therapeutic for experiential negative symptoms of schizophrenia: results from an exploratory study 2025 ·Schizophrenia ·Haig A. Goenjian, Abhishek Pratap, (unknown), Brendan Hare, Joshua T. Kantrowitz, (unknown), (unknown), (unknown), (unknown), Alankar Gupta, Timothy R. Campellone, Mariya Petrova, (unknown), Uma Vaidyanathan, Shaheen E Lakhan, Cornelia Dorner‐Ciossek	1
2	Establishment and Maintenance of a Digital Therapeutic Alliance in People Living With Negative Symptoms of Schizophrenia: Two Exploratory Single-Arm Studies 2025 ·JMIR Mental Health ·(unknown), Cornelia Dorner‐Ciossek, Brendan Hare, (unknown), Timothy R. Campellone, Mariya Petrova, Shaheen E Lakhan, Abhishek Pratap	2
3	Long-Term Engagement of Diverse Study Cohorts in Decentralized Research: Longitudinal Analysis of “All of Us” Research Program Data 2025 ·Interactive Journal of Medical Research ·Vijay Yadav, Elias Chaibub Neto, Megan Doerr, Abhishek Pratap, Larsson Omberg	0
4	Effectiveness, Engagement, and Safety of a Digital Therapeutic (CT-155/BI 3972080) for Treating Negative Symptoms in People With Schizophrenia: Protocol for the Phase 3 CONVOKE Randomized Controlled Trial 2025 ·JMIR Research Protocols ·Shaheen E Lakhan, Cornelia Dorner‐Ciossek, (unknown), Faith Dickerson, Claudia Hastedt, (unknown), René S. Kahn, Jean‐Pierre Lindenmayer, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Christoph von der Goltz, Abhishek Pratap	0
5	Comparative Assessment of Multimodal Sensor Data Quality Collected Using Android and iOS Smartphones in Real-World Settings 2024 ·Sensors ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Elias Chaibub Neto, Abhishek Pratap	1
6	A Novel Unsupervised Machine Learning Approach to Assess Postural Dynamics in Euthymic Bipolar Disorder 2024 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), (unknown), Muhammad Ishrat Husain, Abhishek Pratap, Martin Alda, Benoit H. Mulsant, Abigail Ortiz	0
7	Using Machine Learning to Explore Multimodal Digital Markers for Early Detection of Cognitive Impairment in Alzheimer’s Disease 2024 ·Alzheimer s & Dementia ·Joseph Geraci, (unknown), Bessi Qorri, (unknown), (unknown), (unknown), Katherine A. Gifford, Abhishek Pratap, Mike J. Tsay, Christian Cumbaa, Luca Pani, Larry Alphs, Rhoda Au	1
8	Prescription Digital Therapeutics: An Emerging Treatment Option for Negative Symptoms in Schizophrenia 2024 ·Biological Psychiatry ·Daniel Fulford, Lisa A. Marsch, Abhishek Pratap	4
9	Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression 2022 ·Scientific Data ·Abhishek Pratap, (unknown), (unknown), (unknown), Christine Suver, (unknown), Joaquin A. Anguera, Patricia A. Areán	7
10	Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studies 2022 ·PLoS ONE ·Elias Chaibub Neto, Thanneer M. Perumal, Abhishek Pratap, (unknown), Brian M. Bot, Lara M. Mangravite, Larsson Omberg	1
11	An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study 2021 ·JMIR Formative Research ·Sarah Goodday, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Daniel R. Karlin, (unknown), Nancy Fúgate Woods, (unknown), Luca Foschini, (unknown), Francesca Cormack, (unknown), Abhishek Pratap, Marzyeh Ghassemi, Anna Goldenberg, Sujay Nagaraj, (unknown), (unknown), (unknown)	7
12	Perceived Utility and Characterization of Personal Google Search Histories to Detect Data Patterns Proximal to a Suicide Attempt in Individuals Who Previously Attempted Suicide: Pilot Cohort Study 2021 ·Journal of Medical Internet Research ·Patricia A. Areán, Abhishek Pratap, Honor Hsin, (unknown), (unknown), Patrick J. Heagerty, Trevor Cohen, Courtney L. Bagge, Katherine Anne Comtois	15
13	Real-world longitudinal data collected from the SleepHealth mobile app study 2020 ·Scientific Data ·(unknown), Abhishek Pratap, Christine Suver, (unknown), (unknown), (unknown), Carl Stepnowsky	7
14	Evaluating the Utility of Smartphone-Based Sensor Assessments in Persons With Multiple Sclerosis in the Real-World Using an App (elevateMS): Observational, Prospective Pilot Digital Health Study 2020 ·JMIR mhealth and uhealth ·Abhishek Pratap, Daniel Grant, Ashok Vegesna, (unknown), Stanley Cohan, Chinmay Deshpande, Lara M. Mangravite, Larsson Omberg	51
15	Detecting the impact of subject characteristics on machine learning-based diagnostic applications 2019 ·npj Digital Medicine ·Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, (unknown), Phil Snyder, Brian M. Bot, Andrew D. Trister, Stephen Friend, Lara M. Mangravite, Larsson Omberg	46
16	The accuracy of passive phone sensors in predicting daily mood 2018 ·Depression and Anxiety ·Abhishek Pratap, David C. Atkins, Brenna N. Renn, Michael Tanana, Sean D. Mooney, Joaquin A. Anguera, Patricia A. Areán	78
17	Using Mobile Apps to Assess and Treat Depression in Hispanic and Latino Populations: Fully Remote Randomized Clinical Trial 2018 ·Journal of Medical Internet Research ·Abhishek Pratap, Brenna N. Renn, (unknown), Sean D. Mooney, Adam Gazzaley, Patricia A. Areán, Joaquin A. Anguera	79
18	Smartphone-based passive assessment of mobility in depression: Challenges and opportunities 2018 ·Mental health and physical activity ·Brenna N. Renn, Abhishek Pratap, David C. Atkins, Sean D. Mooney, Patricia A. Areán	21
19	The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials breakdown → 2017 ·World Psychiatry ·Joseph Firth, John Torous, Jennifer Nicholas, Rebekah Carney, Abhishek Pratap, Simon Rosenbaum, Jerome Sarris	664
20	The mPower study, Parkinson disease mobile data collected using ResearchKit breakdown → 2016 ·Scientific Data ·Brian M. Bot, Christine Suver, Elias Chaibub Neto, Michael Kellen, Arno Klein, J Christopher Bare, Megan Doerr, Abhishek Pratap, John Wilbanks, E. Ray Dorsey, Stephen Friend, Andrew D. Trister	404

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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